Georges' STAT DAY 2024

Ronald L. (Ron) Wasserstein is the executive director of the American Statistical Association (ASA). Wasserstein assumed the ASA’s top staff leadership post in August 2007.

An Associate Vice President in Statistics and Data Science at Westat, Andreea is passionate about developing statistical models to address complex analytic questions, enthusiastic about working with statisticians and non-statisticians across diverse fields, committed to the profession.

Jay (Juan) Klopper is a teaching associate professor in the Department of Biostatistics and Bioinformatics. Jay has a special interest in the development of large-scale educational resources and is a recipient of the Educator of The Year award from the Open Education Consortium of leading universities.

Dr. Laura Freeman is a Research Professor of Statistics and serves as the Deputy Director of the Virginia Tech National Security Institute.   Her research leverages statistical methods in the domains of cyber-physical systems, data science, artificial intelligence (AI), and machine learning to address critical challenges in national security.

Luca Sartore is a Senior Research Associate for the National Institute of Statistical Science (NISS), working with the National Agricultural Statistical Service (NASS). His contribution on the automation of analytical systems has focused on machine learning, artificial intelligence, and high-performance computing. He received his Ph.D. from the University of Padua (Italy). After his Ph.D., he joined the European Center of Living Technologies as a postdoc researching evolutionary algorithms in AI for one year in Venice (Italy).

David Oh is a Supervisory Data Scientist at the Bureau of Labor Statistics, working in the Office of Compensation and Working Conditions, Compensation Research and Program Development Group. David oversees various data science projects that use machine learning and natural language processing to improve the quality and scope of the statistics produced from the surveys collected by his office.

Dr. Linda J. Young is chief mathematical statistician and director of Research and Development of USDA’s National Agricultural Statistics Service where She oversees efforts to continually improve the methodology underpinning the agency’s collection and dissemination of data on every facet of U.S. agriculture. Dr. Young obtained her bachelor’s and master’s degrees in mathematics from West Texas State University and her Ph.D. in statistics from Oklahoma State University.